Results 41 to 50 of about 142,696 (248)
The word embedding model word2vec tends to ignore the importance of a single word to the entire document, which affects the accuracy of the news text classification method.
Weidong Zhao +4 more
doaj +1 more source
Investigating Verbal Intelligence Using the TF-IDF Approach
In this paper we investigated differences in language use of speakers yielding different verbal intelligence when they describe the same event. The work is based on a corpus containing descriptions of a short film and verbal intelligence scores of the speakers.
Zablotskaya, Kseniya +2 more
openaire +3 more sources
TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM
This study utilized a randomly selected set of 10 news articles from the BBC dataset, which includes both the news content and their summaries. A comparative analysis of the TF/IDF and TF/IDF-TextRank algorithms was conducted on these data.
Uçkan, Taner, Özgüner, Özge
core
Probabilistic retrieval models - relationships, context-specific application, selection and implementation [PDF]
PhDRetrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes.
Wang, Jun
core +2 more sources
Hot Topic Detection Based on a Refined TF-IDF Algorithm
In this paper, we propose a refined term frequency inversed document frequency (TF-IDF) algorithm called TA TF-IDF to find hot terms, based on time distribution information and user attention.
Zhiliang Zhu +4 more
doaj +1 more source
Charting Endocrine Progenitors Across Species and Organs
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing +21 more
wiley +1 more source
In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method
Sintia Sintia +2 more
doaj +1 more source
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Analisis Perbandingan Metode Pembobotan Kata Delta TF-IDF dan TF-IDF Terhadap Performansi Analisis Sentimen [PDF]
Metode ekstraksi fitur yang umum digunakan untuk analisis sentimen yaitu pembobotan kata TF-IDF. Namun, metode TF-IDF memiliki kekurangan dalam menentukan pembobotan untuk analisis sentimen karena tidak dapat memberikan bobot yang berbeda terhadap kata ...
RIAN ADY RAIHANDIWAN
core

